I Let AI Predict Football Matches – Over 2.5 Goals Test
Intro:
Can artificial intelligence really predict football outcomes? I put it to the test by letting an AI model forecast matches based on the Over 2.5 goals market—a favorite for bettors looking for high-scoring games.
How It Worked:
Using past match data, goal stats, team form, and a simple machine learning model, I trained an AI to identify games likely to end with 3 or more goals. No magic, just clean data and pattern recognition.
The Experiment:
I selected a set of upcoming matches, ran them through the AI, and noted its Over 2.5 predictions. After the games played out, I compared its accuracy to typical betting odds.
The Results:
Surprisingly, the AI got a solid number of games right! While it’s not perfect, it showed promising accuracy—better than random guessing and even some betting tips.
Takeaway:
AI isn’t a crystal ball, but with the right data, it’s a powerful tool. I’ll keep refining the model and testing other markets. Want to follow the journey? Subscribe to my YouTube channel for updates and tools blending tech with sports!
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